| Â | est | |
|---|---|---|
| Predictors | Estimates | SE |
| abstraction1 | -0.4781 | 0.0389 |
| reward condition1 | 0.2408 | 0.0389 |
| age scaled | 0.1915 | 0.0511 |
|
abstraction1 × reward condition1 |
0.3327 | 0.0389 |
| abstraction1 × age scaled | -0.0707 | 0.0390 |
|
reward condition1 × age scaled |
0.0568 | 0.0390 |
|
(abstraction1 × reward condition1) × age scaled |
0.0353 | 0.0390 |
| Random Effects | ||
| σ2 | 0.92 | |
| τ00 subject_id | 0.16 | |
| ICC | 0.15 | |
| N subject_id | 151 | |
| Observations | 604 | |
| Marginal R2 / Conditional R2 | 0.291 / 0.399 | |
| Â | est | |
|---|---|---|
| Predictors | Estimates | SE |
| reward condition1 | -0.0919 | 0.0441 |
| Random Effects | ||
| σ2 | 0.59 | |
| τ00 subject_id | 0.61 | |
| ICC | 0.51 | |
| N subject_id | 151 | |
| Observations | 302 | |
| Marginal R2 / Conditional R2 | 0.007 / 0.513 | |
| Â | est | |
|---|---|---|
| Predictors | Estimates | SE |
| reward condition1 | 0.5734 | 0.0529 |
| Random Effects | ||
| σ2 | 0.85 | |
| τ00 subject_id | 0.19 | |
| ICC | 0.19 | |
| N subject_id | 151 | |
| Observations | 302 | |
| Marginal R2 / Conditional R2 | 0.241 / 0.382 | |
##
## Call:
## lm(formula = total_points ~ est, data = beta_ests_points_c_c)
##
## Residuals:
## Min 1Q Median 3Q Max
## -267.278 -36.123 4.793 38.580 96.301
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 104.105 7.636 13.634 < 2e-16 ***
## est 36.489 4.757 7.671 2.06e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 57.31 on 149 degrees of freedom
## Multiple R-squared: 0.2831, Adjusted R-squared: 0.2783
## F-statistic: 58.84 on 1 and 149 DF, p-value: 2.056e-12
##
## Call:
## lm(formula = total_points ~ est, data = beta_ests_points_e_c)
##
## Residuals:
## Min 1Q Median 3Q Max
## -272.592 -35.015 8.594 44.639 132.400
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 136.796 8.487 16.117 <2e-16 ***
## est 8.763 4.177 2.098 0.0376 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 66.71 on 149 degrees of freedom
## Multiple R-squared: 0.02869, Adjusted R-squared: 0.02218
## F-statistic: 4.402 on 1 and 149 DF, p-value: 0.03759
##
## Call:
## lm(formula = total_points ~ est, data = beta_ests_points_c_e)
##
## Residuals:
## Min 1Q Median 3Q Max
## -324.49 -45.41 -0.46 56.62 190.35
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 158.110 7.078 22.338 <2e-16 ***
## est -7.549 6.693 -1.128 0.261
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 86.38 on 149 degrees of freedom
## Multiple R-squared: 0.008467, Adjusted R-squared: 0.001812
## F-statistic: 1.272 on 1 and 149 DF, p-value: 0.2611
##
## Call:
## lm(formula = total_points ~ est, data = beta_ests_points_e_e)
##
## Residuals:
## Min 1Q Median 3Q Max
## -326.12 -31.20 -5.67 44.45 222.81
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.035 13.394 3.960 0.000116 ***
## est 59.651 6.925 8.614 9.38e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 70.87 on 149 degrees of freedom
## Multiple R-squared: 0.3324, Adjusted R-squared: 0.328
## F-statistic: 74.2 on 1 and 149 DF, p-value: 9.382e-15
| Â | AUC | |
|---|---|---|
| Predictors | Estimates | SE |
| age scaled | 0.0100 | 0.0067 |
| beta scaled | 0.0189 | 0.0049 |
| abstraction1 | 0.0611 | 0.0025 |
| reward condition1 | -0.0055 | 0.0026 |
| age scaled × beta scaled | 0.0138 | 0.0057 |
| age scaled × abstraction1 | 0.0043 | 0.0026 |
|
beta scaled × abstraction1 |
-0.0064 | 0.0028 |
|
age scaled × reward condition1 |
-0.0009 | 0.0026 |
|
beta scaled × reward condition1 |
-0.0103 | 0.0033 |
|
abstraction1 × reward condition1 |
-0.0002 | 0.0025 |
|
age scaled × beta scaled × abstraction1 |
-0.0048 | 0.0031 |
|
age scaled × beta scaled × reward condition1 |
-0.0067 | 0.0036 |
|
age scaled × abstraction1 × reward condition1 |
0.0010 | 0.0026 |
|
beta scaled × abstraction1 × reward condition1 |
0.0004 | 0.0028 |
|
age scaled × beta scaled × abstraction1 × reward condition1 |
0.0042 | 0.0031 |
| Random Effects | ||
| σ2 | 0.00 | |
| τ00 subject_id | 0.01 | |
| ICC | 0.61 | |
| N subject_id | 151 | |
| Observations | 608 | |
| Marginal R2 / Conditional R2 | 0.320 / 0.736 | |
| Â | AUC | |
|---|---|---|
| Predictors | Estimates | SE |
| age scaled | 0.0190 | 0.0072 |
| beta scaled | -0.0018 | 0.0042 |
| abstraction1 | 0.0588 | 0.0029 |
| reward condition1 | -0.0067 | 0.0033 |
| age scaled × beta scaled | -0.0028 | 0.0043 |
| age scaled × abstraction1 | 0.0033 | 0.0029 |
|
beta scaled × abstraction1 |
0.0048 | 0.0029 |
|
age scaled × reward condition1 |
-0.0026 | 0.0034 |
|
beta scaled × reward condition1 |
0.0013 | 0.0036 |
|
abstraction1 × reward condition1 |
-0.0008 | 0.0029 |
|
age scaled × beta scaled × abstraction1 |
0.0009 | 0.0029 |
|
age scaled × beta scaled × reward condition1 |
-0.0058 | 0.0036 |
|
age scaled × abstraction1 × reward condition1 |
0.0005 | 0.0029 |
|
beta scaled × abstraction1 × reward condition1 |
0.0028 | 0.0029 |
|
age scaled × beta scaled × abstraction1 × reward condition1 |
-0.0038 | 0.0029 |
| Random Effects | ||
| σ2 | 0.00 | |
| τ00 subject_id | 0.01 | |
| ICC | 0.63 | |
| N subject_id | 151 | |
| Observations | 608 | |
| Marginal R2 / Conditional R2 | 0.290 / 0.739 | |